Jinjie Gu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
14
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | RAG-R1: Incentivizing the Search and Reasoning Capabilities of LLMs Through Multi-Query Parallelism. | Zhiwen Tan, Jiaming Huang, Qintong Wu, Hongxuan Zhang, Chenyi Zhuang, Jinjie Gu |
| 2026 | AAAI | PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation. | Zhehao Tan, Yihan Jiao, Dan Yang, Junwei Liu, Lei Liu, Jie Feng, Duolin Sun, Yue Shen, Jian Wang, Peng Wei, Jinjie Gu |
| 2026 | ACL | BalanceSFT: Improving LLM Function Calling with Balanced Training Signals and Data Hardness. | Bingguang Hao, Zengzhuang Xu, Maolin Wang, Yuntao Wen, Yicheng Chen, Cunyin Peng, Long Chen, Xiangyu Zhao, Jinjie Gu, Chenyi Zhuang, Ji Zhang |
| 2026 | ACL | Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training. | Lei Liu, Hao Zhu, Xiaoyan Yang, Yue Shen, Zhixuan Chu, Jian Wang, Jinjie Gu, Kui Ren |
| 2026 | ACL | GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs. | Meixiu Long, Duolin Sun, Dan Yang, Yihan Jiao, Lei Liu, Jiahai Wang, Binbin Hu, Yue Shen, Jie Feng, Zhehao Tan, Junjie Wang, Lianzhen Zhong, Jian Wang, Peng Wei, Jinjie Gu |
| 2026 | ACL | ClinAlign: Scaling Healthcare Alignment from Clinician Preference. | Shiwei Lyu, Xidong Wang, Hao Zhu, Lei Liu, Chaohe Zhang, Jian Wang, Jinjie Gu, Benyou Wang, Yue Shen |
| 2026 | ACL | WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning. | Junjie Wang, Zequn Xie, Dan Yang, Jie Feng, Yue Shen, Duolin Sun, Meixiu Long, Yihan Jiao, Zhehao Tan, Jian Wang, Peng Wei, Jinjie Gu |
| 2026 | ACL | HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy. | Fan Xu, Xinyu Hu, Zhenghan Yu, Li Lin, Xu Zhang, Yang Zhang, Wei Zhou, Jinjie Gu, Xiaojun Wan |
| 2026 | SIGIR | MedNQS: Medical State-Aware Dual-Stage Next-Turn Question Suggestion for Online Medical Consultations. | Yue He, Dongsheng Bi, Minghui Yang, Jian Wang, Jinjie Gu, Junwei Liu |
| 2025 | AAAI | CSR: Achieving 1 Bit Key-Value Cache via Sparse Representation. | Hongxuan Zhang, Yao Zhao, Jiaqi Zheng, Chenyi Zhuang, Jinjie Gu, Guihai Chen |
| 2025 | AVSS | PETS2025: Multi-Authority Multi-Sensor Maritime Surveillance Challenge and Evaluation. | Thanet Markchom, Jonathan N. Boyle, Lulu Chen, James M. Ferryman, Matteo Marturini, Stephan Veigl, Andreas Opitz, Andreas Kriechbaum-Zabini, Romaios Bratskas, Anastasios Gkamaris, Dimitris Papachristos, George Leventakis, Wenjun Fan, Hsiang-Wei Huang, Jeng-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Chung-I Huang, Kenta Saito, Shunta Kaneko, Kyoko Sudo, Nguyen Thanh Thien, Meng-Yu Kao, Jun-Wei Hsieh, Teepakorn Lilek, Tossapol Pomsuwan, Jinjie Gu, Tianyang Xu, Xuefeng Zhu, Xiaojun Wu, Josef Kittler, Stephanie Stacy, Alfredo Gabaldon, Peter Tu, Sangwon Kim, Dongyoung Kim, Kyoungoh Lee |
| 2025 | ICDE | Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation. | Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang |
| 2025 | NAACL | CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. | Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo |
| 2025 | NAACL | KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents. | Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Shiwei Lyu, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang |
| 2024 | AAAI | Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations. | Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou |
| 2024 | AAAI | LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. | Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li |
| 2024 | AAAI | MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. | Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang |
| 2024 | ACL | Unified Hallucination Detection for Multimodal Large Language Models. | Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang, Qiang Li, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen |
| 2024 | ACL | CharPoet: A Chinese Classical Poetry Generation System Based on Token-free LLM. | Chengyue Yu, Lei Zang, Jiaotuan Wang, Chenyi Zhuang, Jinjie Gu |
| 2024 | CIKM | Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning. | Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu |
| 2024 | CIKM | Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking. | Songhao Wu, Quan Tu, Mingjie Zhong, Hong Liu, Jia Xu, Jinjie Gu, Rui Yan |
| 2024 | EMNLP | Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. | Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen |
| 2024 | EMNLP | Editing Conceptual Knowledge for Large Language Models. | Xiaohan Wang, Shengyu Mao, Shumin Deng, Yunzhi Yao, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang |
| 2024 | KDD | DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. | Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu |
| 2024 | KDD | FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering. | Tianchi Cai, Zhiwen Tan, Xierui Song, Tao Sun, Jiyan Jiang, Yunqi Xu, Yinger Zhang, Jinjie Gu |
| 2024 | KDD | RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning. | Congyun Jin, Ming Zhang, Weixiao Ma, Yujiao Li, Yingbo Wang, Yabo Jia, Yuliang Du, Tao Sun, Haowen Wang, Cong Fan, Jinjie Gu, Chenfei Chi, Xiangguo Lv, Fangzhou Li, Wei Xue, Yiran Huang |
| 2024 | KDD | Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. | Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xiangguo Lv, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu |
| 2024 | KDD | Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. | Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Wen Zhang, Jinjie Gu |
| 2024 | KDD | Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy. | Yao Zhao, Zhitian Xie, Chen Liang, Chenyi Zhuang, Jinjie Gu |
| 2024 | RecSys | DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems. | Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin |
| 2024 | WWW | Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge. | Junpeng Fang, Gongduo Zhang, Qing Cui, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou |
| 2024 | WWW | Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation. | Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao |
| 2024 | WWW | Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. | Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu |
| 2024 | SIGIR | Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. | Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan |
| 2023 | ICDE | Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. | Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang |
| 2023 | IJCAI | GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. | Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang |
| 2023 | WWW | Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. | Xiaoyan Yang, Dong Wang, Binbin Hu, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang |
| 2023 | SIGIR | Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. | Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang |
| 2023 | SIGIR | Alleviating Matching Bias in Marketing Recommendations. | Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu |
| 2023 | SIGIR | GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. | Yankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang |
| 2023 | SIGIR | Connecting Unseen Domains: Cross-Domain Invariant Learning in Recommendation. | Yang Zhang, Yue Shen, Dong Wang, Jinjie Gu, Guannan Zhang |
| 2023 | WSDM | Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. | Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang |
| 2022 | AAAI | Imbalance-Aware Uplift Modeling for Observational Data. | Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu |
| 2022 | CIKM | See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction. | Shiwei Lyu, Hongbo Cai, Chaohe Zhang, Shuai Ling, Yue Shen, Xiaodong Zeng, Jinjie Gu, Guannan Zhang, Haipeng Zhang |
| 2022 | CIKM | FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. | Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu |
| 2022 | CIKM | Multiple Instance Learning for Uplift Modeling. | Yao Zhao, Haipeng Zhang, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang |
| 2022 | ICDE | Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. | Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo |
| 2022 | KDD | Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction. | Yu Ma, Zhining Liu, Chenyi Zhuang, Yize Tan, Yi Dong, Wenliang Zhong, Jinjie Gu |
| 2022 | WWW | A Multi-Task Learning Approach for Delayed Feedback Modeling. | Zhigang Huangfu, Gongduo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou, Jinjie Gu |
| 2022 | SIGIR | An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. | Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo |
| 2022 | WSDM | Scope-aware Re-ranking with Gated Attention in Feed. | Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu |
| 2021 | AAAI | Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing. | Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu |
| 2021 | CIKM | Adversarial Learning for Incentive Optimization in Mobile Payment Marketing. | Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu |
| 2021 | CIKM | Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. | Ziqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou |
| 2021 | DASFAA | LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. | Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu |
| 2021 | IJCAI | User Retention: A Causal Approach with Triple Task Modeling. | Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong |
| 2020 | AAAI | Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. | Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He |
| 2020 | CIKM | Two-Stage Audience Expansion for Financial Targeting in Marketing. | Zhining Liu, Xiao-Fan Niu, Chenyi Zhuang, Yize Tan, Yixiang Mu, Jinjie Gu, Guannan Zhang |
| 2020 | KDD | Hubble: An Industrial System for Audience Expansion in Mobile Marketing. | Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi |
| 2019 | CIKM | Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. | Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi |